Sentence examples for responsiveness estimates from inspiring English sources

Inferential 95% confidence bands were calculated to enable statistical comparison of responsiveness estimates as recommended by Tryon [ 32].

Partial subscales of the SF-36 also presented good results in responsiveness estimates and MID, which revealed improvement after surgery.

The responsiveness estimates for the HHS generally exceeded 0.5, which can be interpreted as medium change [ 17, 18].

The bootstrap estimation and modified Jacknife test were used to derive 95% confidence intervals for differences in the responsiveness estimates.

Additionally, responsiveness estimates derived by the SF-36 and the HHS before and after revision THA has not been clinically compared.

Responsiveness estimates were evaluated in terms of percentage of change (PC), effect size (ES) [ 6- 8], standardized response mean (SRM) [ 6- 8] and relative efficiency (RE) [ 12].

In the present analysis we studied GH responsiveness estimated on the obtained levels and change of IGF-ISDS, IGFBP3SDS and IGF-I/IGFBP-3 ratioSDS and the associated growth response in children with IIGHD randomized in puberty to different weight-based GH dose regimens.

To establish responsiveness, several estimates (like effect sizes or standardized response means) can be calculated which permits comparison of the sensitivity to change between several instruments.

The objective of this study was to examine the relationships among the Dermatology Life Quality Index (DLQI), the Short Form 36 (SF-36), and the EuroQOL 5D (EQ-5D) and to assess their validity, responsiveness, and estimates of minimum important differences.

Individual GH responsiveness was estimated by our growth response prediction model for children with GHD and ISS [ 23], and the patients were randomized in 1 2 proportions to receive either a standard or an individualized GH dose during 2 years of catch-up growth to a preset growth target, mid-parental height SDS (MPHSDS).

To test for asymmetric responsiveness, we estimate a model that permits unemployment-level coefficients to differ depending on whether the unemployment rate has increased or decreased.